📡 SCORES
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⚡ Nex Board

Mixed ranking engine — sides + props scored, ranked, and graded. Top 4 daily picks.

Nex Board Record
1D 7D 14D 30D |
← Aug 3 →
Wins
3
Losses
3
Win %
50%
Pending
0
Fri 10/16 Thu 10/15 Wed 10/14 Tue 10/13 Mon 10/12 Sun 10/11 Sat 10/10 Fri 10/9 Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5 Sun 10/4 Sat 10/3
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
SEA @ NY WNBA
Points 20.5 OVER
70.2 B
  • Heavy minutes projection
  • Stable player role
Raw
63
Clean
28.2
Fit
4
2
PHX @ CHI WNBA
Rebounds 7.5 OVER
69.1 B
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
28.5
Fit
5
3
SEA @ NY WNBA
Rebounds 5.5 OVER
68.2 B-
  • Heavy minutes projection
  • Stable player role
Raw
60
Clean
22.5
Fit
5
4
PHX @ CHI WNBA
Points 15.5 OVER
66.8 B-
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
27.9
Fit
4

📋 Full Board (870 picks · Page 12/35)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
276 Drew Cavanaugh SF SF @ TEX Hits 0.5 8.7 D 9.2 -5 Pending
277 Dylan Crews WSH WSH @ PHI Runs 0.5 8.7 D 9.2 -5 Pending
278 Evan Carter TEX SF @ TEX Hits 0.5 8.7 D 9.2 -5 Pending
279 Ivan Herrera STL STL @ NYY Total Bases 1.5 8.7 D 9.2 -5 Pending
280 J.T. Realmuto PHI WSH @ PHI Runs Batted In 0.5 8.7 D 9.2 -5 Pending
281 Jacob Young WSH WSH @ PHI Hits 0.5 8.7 D 9.2 -5 Pending
282 James Wood WSH WSH @ PHI Hits 0.5 8.7 D 9.2 -5 Pending
283 Jose Tena WSH WSH @ PHI Hits 0.5 8.7 D 9.2 -5 Pending
284 Justin Crawford PHI WSH @ PHI Runs 0.5 8.7 D 9.2 -5 Pending
285 Marcell Ozuna PIT PIT @ MIL Hits 0.5 8.7 D 9.2 -5 Pending
286 Miguel Amaya CHC LAD @ CHC Runs Batted In 0.5 8.7 D 9.2 -5 Pending
287 Pete Crow-Armstrong CHC LAD @ CHC Runs 0.5 8.7 D 9.2 -5 Pending
288 Pete Crow-Armstrong CHC LAD @ CHC Runs Batted In 0.5 8.7 D 9.2 -5 Pending
289 Seiya Suzuki CHC LAD @ CHC Runs Batted In 0.5 8.7 D 9.2 -5 Pending
290 Spencer Horwitz PIT PIT @ MIL Total Bases 1.5 8.7 D 9.2 -5 Pending
291 Teoscar Hernandez LAD LAD @ CHC Runs Batted In 0.5 8.7 D 9.2 -5 Pending
292 Trea Turner PHI WSH @ PHI Runs 0.5 8.7 D 9.2 -5 Pending
293 Daulton Varsho TOR TOR @ HOU Total Bases 1.5 8.4 D 9.4 -5 Pending
294 George Springer TOR TOR @ HOU Runs Batted In 1.5 8.4 D 9.4 -5 Pending
295 Ildemaro Vargas AZ SD @ ARI Total Bases 1.5 8.4 D 9.4 -5 Pending
296 Jeremy Pena HOU TOR @ HOU Runs Batted In 1.5 8.4 D 9.4 -5 Pending
297 Max Kepler AZ SD @ ARI Hits 1.5 8.4 D 9.4 -5 Pending
298 Nick Gonzales PIT PIT @ MIL Total Bases 1.5 8.4 D 9.4 -5 Pending
299 Alec Bohm PHI WSH @ PHI Runs Batted In 0.5 8.3 D 9.2 -5 Pending
300 Andrés Chaparro WSH WSH @ PHI Hits 0.5 8.3 D 9.2 -5 Pending
Showing 276–300 of 870 picks

Methodology

A unified ranking engine that scores every pick on a 0–100 scale — props, sides, and totals on one board.

The Nex Engine doesn't just find edges — it ranks them. Every candidate pick runs through a four-layer scoring system that weighs the raw data, the play type's historical reliability, role stability, and how well it fits a winning daily card. The result is a single number that tells you exactly where each play stands relative to every other play on the board.

The 4 Scoring Dimensions

Raw Edge (50% weight) — The foundation. For props, this measures hit rate vs. the line, projected stat edge, minutes security, role stability, and usage opportunity. For sides, it factors injury edge, home court advantage, team strength gaps, recent form, and market alignment. This is where the pure data advantage lives.

Play-Type Trust — Not all play types are created equal. Moneylines on home favorites, star player rebounds, and small spreads have historically higher conversion rates — so they score higher. Role-player 3PM props and large spreads get docked because the variance is too high. This layer filters out plays that look good on paper but don't cash consistently.

Cleanliness — A stability check. Star players with locked-in minutes and defined roles score higher. Bench players, blowout-risk games, injury-dependent usage bumps, and hot-shooting reliance all get penalized. Clean plays are repeatable plays.

Card Fit — Built for daily card construction. This layer favors the pick types that historically perform on daily cards — moneylines, star rebounds and assists, tight spreads. It deprioritizes picks that might have edge in isolation but don't build well into a cohesive card.

Reading the Board

Score 75+ — Elite territory. These plays have strong edge across all four dimensions. The engine's highest conviction picks.

Score 65–74 — Strong plays with solid fundamentals. Multiple dimensions are firing and the overall profile is clean.

Score 55–64 — Above average. The edge is there, but one or two dimensions may be weaker. Still viable, especially in combination with other signals.

Below 55 — Below the recommended threshold. The engine sees some edge but not enough to rank it as a confident play.

The Nex Board rebuilds automatically as new odds and stats flow in. Scores and rankings can shift throughout the day as the market moves.